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Face Alignment

Face alignment is the task of identifying the geometric structure of faces in digital images, and attempting to obtain a canonical alignment of the face based on translation, scale, and rotation.

( Image credit: 3DDFA_V2 )

Papers

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Showing 251–275 of 308 papers

TitleStatusHype
A Recurrent Encoder-Decoder Network for Sequential Face Alignment—0
Face Alignment In-the-Wild: A Survey—0
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks—0
Cascaded Continuous Regression for Real-time Incremental Face Tracking—0
Learning deep representation from coarse to fine for face alignment—0
Unconstrained Face Alignment via Cascaded Compositional Learning—0
Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders—0
Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment—0
Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting—0
Deep Deformation Network for Object Landmark Localization—0
Robust Head-Pose Estimation Based on Partially-Latent Mixture of Linear Regressions—0
A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"Code0
Face Alignment by Local Deep Descriptor Regression—0
Regressive Tree Structured Model for Facial Landmark Localization—0
Leveraging Datasets With Varying Annotations for Face Alignment via Deep Regression Network—0
PIEFA: Personalized Incremental and Ensemble Face Alignment—0
Robust Statistical Face Frontalization—0
Face Alignment Across Large Poses: A 3D Solution—0
Towards Arbitrary-View Face Alignment by Recommendation Trees—0
Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression—0
An Empirical Study of Recent Face Alignment Methods—0
Robust Face Alignment Using a Mixture of Invariant Experts—0
Efficient Face Alignment via Locality-constrained Representation for Robust Recognition—0
Deep Multimodal Speaker Naming—0
Unconstrained Facial Landmark Localization with Backbone-Branches Fully-Convolutional Networks—0
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